Data Science Intern applicants have rated the interview process at NBCUniversal with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 70% positive. To compare, the company-average is 62.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science Intern roles take an average of 66 days to get hired, when considering 10 user submitted interviews for this role. To compare, the hiring process at NBCUniversal overall takes an average of 36 days.
Common stages of the interview process at NBCUniversal as a Data Science Intern according to 10 Glassdoor interviews include:
One on one interview: 26%
Skills test: 26%
Group panel interview: 16%
Phone interview: 11%
IQ intelligence test: 5%
Background check: 5%
Presentation: 5%
Personality test: 5%
Here are the most commonly searched roles for interview reports -
I had a phone screening with a recruiter, then interviewed
a couple weeks later for a position on the Peacock team that I did not get. The interview was both behavioral and technical, with an emphasis on explaining previous projects I'd worked on, and answering questions related to the work I'd described. I was later contacted to interview for a different position that I did end up getting, and the interview was similar in style to the first one I'd had. Overall the experience was very pleasant, and I enjoyed speaking to everyone I had the pleasure of meeting.
Interview questions [1]
Question 1
Walk me through one of the projects on your resume.
I applied online. The process took 3 months. I interviewed at NBCUniversal in Jun 2025
Interview
I interviewed for the Peacock Data and Decision Sciences Team. Hirevue (behavioral questions) -> 1 hour technical interview -> offer. The technical interview consisted of 30 min relatively easy Python and SQL live coding questions, 15 min resume questions, and 15 min case study. I was asked about my ML and statistical modeling experience as well as my experience with Retrieval-Augmented Generation (RAG) for my resume questions. Case study was not too bad, just make sure to review things like business acumen and customer lifetime value (CLV).
Interview questions [2]
Question 1
Explain the algorithm/math behind Principal Component Analysis (PCA).
I applied online. I interviewed at NBCUniversal (New York, NY) in May 2025
Interview
It was easy first round of the higher view, and then they selected people to do the second round usually it’s technical. However, the higher view is probably the most important part cause as for the filter people out.
I applied online. The process took 4 weeks. I interviewed at NBCUniversal
Interview
Pretty standard. Hire view interview. And then a technical round with the lead data scientist.Live SQL coding , python coding and a case study interview. I found the SQL and python questions to me easy- medium range. If you have background in computer science, you can easily clear the interview. I would suggest to prep for the case study part tho